Zobrazeno 1 - 10
of 162
pro vyhledávání: '"Weiss, Amir"'
Publikováno v:
Proc. of ICASSP, 2024, pp. 9366-9370
Motivated by the proliferation of mobile devices, we consider a basic form of the ubiquitous problem of time-delay estimation (TDE), but with communication constraints between two non co-located sensors. In this setting, when joint processing of the
Externí odkaz:
http://arxiv.org/abs/2404.09244
Autor:
Jayashankar, Tejas, Lee, Gary C. F., Lancho, Alejandro, Weiss, Amir, Polyanskiy, Yury, Wornell, Gregory W.
We propose a new method for separating superimposed sources using diffusion-based generative models. Our method relies only on separately trained statistical priors of independent sources to establish a new objective function guided by maximum a post
Externí odkaz:
http://arxiv.org/abs/2306.14411
Autor:
Choi, Jae Won, Chowdhary, Girish, Singer, Andrew C., Vishnu, Hari, Weiss, Amir, Wornell, Gregory W., Deane, Grant
Underwater communication signals typically suffer from distortion due to motion-induced Doppler. Especially in shallow water environments, recovering the signal is challenging due to the time-varying Doppler effects distorting each path differently.
Externí odkaz:
http://arxiv.org/abs/2305.19127
Key challenges in developing underwater acoustic localization methods are related to the combined effects of high reverberation in intricate environments. To address such challenges, recent studies have shown that with a properly designed architectur
Externí odkaz:
http://arxiv.org/abs/2305.17920
A bilateral (i.e., upper and lower) bound on the mean-square error under a general model mismatch is developed. The bound, which is derived from the variational representation of the chi-square divergence, is applicable in the Bayesian and nonBayesia
Externí odkaz:
http://arxiv.org/abs/2305.08207
We study the single-channel source separation problem involving orthogonal frequency-division multiplexing (OFDM) signals, which are ubiquitous in many modern-day digital communication systems. Related efforts have been pursued in monaural source sep
Externí odkaz:
http://arxiv.org/abs/2303.06438
We study the problem of extracting biometric information of individuals by looking at shadows of objects cast on diffuse surfaces. We show that the biometric information leakage from shadows can be sufficient for reliable identity inference under rep
Externí odkaz:
http://arxiv.org/abs/2209.10077
Autor:
Lancho, Alejandro, Weiss, Amir, Lee, Gary C. F., Tang, Jennifer, Bu, Yuheng, Polyanskiy, Yury, Wornell, Gregory W.
We study the potential of data-driven deep learning methods for separation of two communication signals from an observation of their mixture. In particular, we assume knowledge on the generation process of one of the signals, dubbed signal of interes
Externí odkaz:
http://arxiv.org/abs/2209.04871
Autor:
Lee, Gary C. F., Weiss, Amir, Lancho, Alejandro, Tang, Jennifer, Bu, Yuheng, Polyanskiy, Yury, Wornell, Gregory W.
We study the problem of single-channel source separation (SCSS), and focus on cyclostationary signals, which are particularly suitable in a variety of application domains. Unlike classical SCSS approaches, we consider a setting where only examples of
Externí odkaz:
http://arxiv.org/abs/2208.10325
Direct localization (DLOC) methods, which use the observed data to localize a source at an unknown position in a one-step procedure, generally outperform their indirect two-step counterparts (e.g., using time-difference of arrivals). However, underwa
Externí odkaz:
http://arxiv.org/abs/2207.10222